Coherent (COHR) Finished Goods (2010 - 2019)
Coherent (COHR) recorded Finished Goods of $147.32 million in fiscal Q2 2020 (quarter ended Dec 31, 2019), up 86.7% from $78.92 million a year earlier but down 36.6% from the prior quarter.
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Analysis
Coherent (COHR) Finished Goods (2010 - 2019) Analysis & Trends
At the end of FY2019 (ended Jun 30, 2019), Coherent reported Finished Goods of $75.27 million, up 11.1% from FY2018.
- Annual Finished Goods has increased for four straight fiscal years, with a five-year compound annual growth rate of 8.9% (FY2014 to FY2019).
- Across earlier fiscal years, Finished Goods came in at $67.76 million in FY2018 (+7.5%), $63.04 million in FY2017 (+34.3%), $46.94 million in FY2016 (+16.0%) and $40.45 million in FY2015 (-17.8%).
- Quarterly Finished Goods has ranged from $39.12 million in fiscal Q3 2015 to $232.42 million in fiscal Q1 2020 over the past five years.
- On a year-over-year basis, Finished Goods has increased for 17 consecutive quarters, with growth averaging 48.0% over the last eight quarters.
- Peak year-over-year performance for Finished Goods in the last five years was growth of 199.8% in fiscal Q1 2020, against a decline of 17.8% in fiscal Q4 2015 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $232.42 million (Q1 2020), $75.27 million (Q4 2019) and $78.13 million (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,094.46 Bn | 4,841.95 Bn | 54.77 Bn |
| 2 | Cisco Systems | 415.82 Bn | 351.75 Bn | 11.06 Bn |
| 3 | Dell Technologies | 290.96 Bn | 246.72 Bn | 9.83 Bn |
| 4 | Arista Networks | 216.33 Bn | 169.79 Bn | 1.91 Bn |
| 5 | Sandisk | 186.25 Bn | 174.78 Bn | 7.58 Bn |
| 6 | Sony | 156.84 Bn | 94.10 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 140.29 Bn | 135.28 Bn | 1.90 Bn |
| 8 | Western Digital | 121.85 Bn | 109.98 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.03 Bn | 51.91 Bn | 4.93 Bn |
| 10 | Coherent | 36.71 Bn | 30.59 Bn | 787.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 147.32 Mn |
| Sep 30, 2019 | 232.42 Mn |
| Jun 30, 2019 | 75.27 Mn |
| Mar 31, 2019 | 78.13 Mn |
| Dec 31, 2018 | 78.92 Mn |
| Sep 30, 2018 | 77.54 Mn |
| Jun 30, 2018 | 67.76 Mn |
| Mar 31, 2018 | 65.18 Mn |
| Dec 31, 2017 | 67.40 Mn |
| Sep 30, 2017 | 68.64 Mn |
| Jun 30, 2017 | 63.04 Mn |
| Mar 31, 2017 | 50.53 Mn |
| Dec 31, 2016 | 50.98 Mn |
| Sep 30, 2016 | 49.03 Mn |
| Jun 30, 2016 | 46.94 Mn |
| Mar 31, 2016 | 49.32 Mn |
| Dec 31, 2015 | 44.33 Mn |
| Sep 30, 2015 | 41.35 Mn |
| Jun 30, 2015 | 40.45 Mn |
| Mar 31, 2015 | 39.12 Mn |
API Access
Coherent Finished Goods API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=finished-goods&ticker=COHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "COHR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=COHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();